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Wearables / Biomarkers · 7 min read

What to track first if you actually want to optimize healthspan

The short list of signals that move the needle — and the ones safe to ignore for now.

It is easier than ever to instrument your body. Rings, straps, watches, continuous glucose monitors, advanced lipid panels, full-body MRIs. The hard part is no longer collection — it is deciding which signals are worth your attention in the first 90 days. Most people start by tracking everything, learn very little, and quietly stop. A smaller starter stack, chosen well, tends to produce better decisions.

The problem with tracking everything

More data does not automatically mean better choices. When every signal demands attention, the urgent crowds out the important. A dashboard full of numbers can create the feeling of progress without changing behavior — and behavior is where almost all of the healthspan upside lives.

A useful filter: if a metric would not plausibly change anything you do in the next month, it is probably not the right place to start.

Start with signals that can change decisions

The most decision-useful signals are the ones tied to the behaviors with the largest, best-documented impact on long-term health: physical activity, cardiorespiratory fitness, sleep, nutrition quality, blood pressure, lipids, blood glucose, body composition, and tobacco exposure. The American Heart Association's Life's Essential 8 framework is a reasonable, conservative starting map.

Sleep and recovery

Sleep is one of the easiest categories to improve and one of the most consequential to ignore. Aim for trend awareness rather than per-night perfection: total sleep, consistency of wake time, and how you feel across a rolling week. A wearable is useful here mainly because it makes the trend visible — not because it diagnoses anything.

Cardiorespiratory fitness and strength

Cardiorespiratory fitness has one of the strongest associations with long-term health outcomes of any measurable trait, and the AHA has formally called for clinicians to assess it. A reasonable starter target: meet the CDC's adult activity guidelines (roughly 150 minutes of moderate or 75 minutes of vigorous aerobic activity per week, plus two days of muscle-strengthening activity).

Strength is the quieter twin. You do not need a one-rep max — you need enough strength training in the week to preserve muscle and function over decades.

Glucose, ApoB, and cardiometabolic risk

A standard cardiometabolic panel — lipids, fasting glucose, HbA1c, blood pressure — gives you the basics. ApoB and Lp(a) are increasingly discussed in primary-prevention conversations as risk-enhancing factors and are worth understanding with a clinician. Continuous glucose monitoring can be informative for non-diabetics as a short experiment, but it is not a diagnostic.

What to ignore at first

Most exotic biomarkers, single-night HRV swings, body-fat percentages calculated from a wrist, and most subscription-only longevity scores can wait. They are not necessarily wrong — they are just unlikely to change what you do this month.

A simple starter stack

A defensible starting point for most adults:

  • Annual standard bloodwork with a clinician you trust, with ApoB and Lp(a) discussed at least once.
  • Blood pressure measured at home a few times a year.
  • A wearable used for sleep duration, consistency, and activity volume — not as a medical device.
  • Weekly aerobic and strength activity tracked at the level of: did it happen.
  • Body weight trend, not daily weight.
What this means
  • Healthspan is shaped mostly by a small number of well-understood behaviors and a small number of well-understood markers.
  • The role of tracking is to make those behaviors easier to repeat, not to replace clinical care.
What to be careful about
  • Treating consumer wearables and at-home tests as diagnostic. They are not.
  • Reacting to single data points instead of trends.
  • Adding new tests before you have acted on the basics.
Questions to ask
  • If this metric changed by 20%, what would I actually do differently?
  • Is there a free or already-included signal that tells me most of the same story?
  • Am I adding this because it informs a decision, or because it feels rigorous?
Sources & further reading

This Field Note is for educational purposes only and is not medical advice, diagnosis, treatment recommendation, or individualized health guidance. Always consult a qualified healthcare professional before making health decisions.

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